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authorJavier <javiercvilla@gmail.com>2016-12-11 20:49:33 +0100
committerTodd Gamblin <tgamblin@llnl.gov>2016-12-11 11:49:33 -0800
commit641db8b9bda51e8cd362c93fd2907add25db6521 (patch)
treee55a55817ea8e53e561a53c3b9b3517fc4494a33 /var
parentc8a89d84b53fd4473c6c064e5c4aaed6ab8e9a8e (diff)
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New package - r-xgboost (#2493)
Diffstat (limited to 'var')
-rw-r--r--var/spack/repos/builtin/packages/r-xgboost/package.py54
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diff --git a/var/spack/repos/builtin/packages/r-xgboost/package.py b/var/spack/repos/builtin/packages/r-xgboost/package.py
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+##############################################################################
+# Copyright (c) 2013-2016, Lawrence Livermore National Security, LLC.
+# Produced at the Lawrence Livermore National Laboratory.
+#
+# This file is part of Spack.
+# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
+# LLNL-CODE-647188
+#
+# For details, see https://github.com/llnl/spack
+# Please also see the LICENSE file for our notice and the LGPL.
+#
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU Lesser General Public License (as
+# published by the Free Software Foundation) version 2.1, February 1999.
+#
+# This program is distributed in the hope that it will be useful, but
+# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
+# conditions of the GNU Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public
+# License along with this program; if not, write to the Free Software
+# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+##############################################################################
+
+from spack import *
+
+
+class RXgboost(Package):
+ """Extreme Gradient Boosting, which is an efficient implementation of
+ gradient boosting framework. This package is its R interface. The package
+ includes efficient linear model solver and tree learning algorithms. The
+ package can automatically do parallel computation on a single machine which
+ could be more than 10 times faster than existing gradient boosting
+ packages. It supports various objective functions, including regression,
+ classification and ranking. The package is made to be extensible, so that
+ users are also allowed to define their own objectives easily."""
+
+ homepage = "https://github.com/dmlc/xgboost"
+ url = "https://cran.r-project.org/src/contrib/xgboost_0.4-4.tar.gz"
+ list_url = "https://cran.r-project.org/src/contrib/Archive/xgboost"
+
+ version('0.4-4', 'c24d3076058101a71de4b8af8806697c')
+
+ extends('R')
+
+ depends_on('r-matrix', type=nolink)
+ depends_on('r-datatable', type=nolink)
+ depends_on('r-magrittr', type=nolink)
+ depends_on('r-stringr', type=nolink)
+
+ def install(self, spec, prefix):
+ R('CMD', 'INSTALL', '--library={0}'.format(self.module.r_lib_dir),
+ self.stage.source_path)